Auto86%Harbor: pendingAgentic / Tool UseKnowledge & Reasoning

GeoNatureAgent (GNA)

GeoNatureAgent (GNA): A Framework and Benchmark for Pre-Production Evaluation of Tool-Using Agents on Geospatial and Environmental Tasks

A 103-task benchmark evaluating tool-using LLM agents on geospatial/environmental tasks via a fixed MCP server interface and deterministic scorer.

How to run

ltb · geonatureagent-gna
$ npm i -g lettokenburn-cli
$ ltb bench info geonatureagent-gna

External harness. No Harbor adapter has been generated for this benchmark yet. `ltb bench info` prints the known links.

Runs happen on your machine with your own subscription; only the score summary is pushed. CLI docs

Scores

9 sourced entries
HarnessSourceConfidenceLink
Claude Sonnet 4 (2025-05-14)60.8N/AIndependentmediumOct 6, 2026arxiv.org
DeepSeek V3.256.3N/AIndependentmediumOct 6, 2026arxiv.org
GLM-550.2N/AIndependentmediumOct 6, 2026arxiv.org
Gemini 2.5 Pro48.0N/AIndependentmediumOct 6, 2026arxiv.org
GPT-4o41.6N/AIndependentmediumOct 6, 2026arxiv.org
Qwen3 235B41.2N/AIndependentmediumOct 6, 2026arxiv.org
GPT-oss 120B34.1N/AIndependentmediumOct 6, 2026arxiv.org
llama-4 Scout26.9N/AIndependentmediumOct 6, 2026arxiv.org
Gemma 3 27B15.8N/AIndependentmediumOct 6, 2026arxiv.org

Every number links to where it was published. Low-confidence rows are muted and need per-cell verification.

Reproduced by the community

All runs
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About

GNA features a 103-task suite (93 main + 10 expansion) across 18 categories, testing agent interaction with a self-hostable geospatial API serving environmental indicators.

It uses a deterministic eight-check scorer without LLM-as-judge. Claude Sonnet 4 achieved the highest capability at 61.7%, highlighting a gap between general GIS benchmarks and strict end-to-end evaluation.